MSc Business Analytics
University of Surrey
Key Information
Campus location
Guildford, United Kingdom
Languages
English
Study format
On-Campus
Duration
1 - 2 year
Pace
Full time, Part time
Tuition fees
GBP 22,000 / per year *
Application deadline
01 Jul 2024
Earliest start date
Sep 2024
* full-time Overseas ; full-time UK students: £13,900
Introduction
Why Choose This Course
In our hyper-connected, data-driven era, the true visionaries who harness the power of big data are the ones who thrive. Imagine being at the forefront of this revolution, armed with cutting-edge tools like artificial intelligence, machine learning, and management science. With our game-changing MSc Business Analytics course, you'll uncover the true potential of data, transforming it into extraordinary insights and propelling businesses to unprecedented success.
Prepare to embark on a learning experience that will elevate your analytical prowess and revolutionize the way you approach business challenges. Our highly practical Business Analytics master is designed to mold you into a confident lateral thinker, equipped with the latest theories and hands-on practices that will set you apart from the competition.
We understand the importance of blending theory and real-world experience, which is why our master's in Business Analytics is enriched by the wisdom and guidance of inspiring industry experts, who will share their invaluable insights both in the classroom and on-site.
Our graduates are highly sought-after by employers and go on to successful careers in business, management, and accounting. Surrey is ranked 67th in the World University 2023 Business and Economics subject rankings, and top 100 in the world for management in the Shanghai Global Rankings 2022.
The School has a strong focus on research and innovation. Its research centers include the Centre for Business Analytics in Practice, the Centre for Digital Economy, and the Centre for Social Innovation Management. Surrey Business School also has a strong track record of entrepreneurship and enterprise.
What You Will Study
Learn how to become a business-orientated data scientist
This Business Analytics course aims to take your analytics career to the next level and develop your ability to support and make decisions using big data confidently. You'll master the art of descriptive, predictive, and prescriptive analytics, empowering you to unravel complex business dilemmas with ease. You will learn and apply a range of techniques and tools to analyze data related to a range of diverse business operations contexts.
Develop analytical skills employers seek
You’ll gain a deep and thorough understanding of quantitative analytical methodologies and learn through hands-on experience with a range of decision-making software and data management tools. You'll acquire the skills to decipher data-led insights and optimize businesses to their full potential.
Develop problem-solving skills
Your studies will focus on three major areas:
- Analysing business data
- Using data to solve business challenges
- Making data-driven business decisions.
In this course, you’ll learn how to apply new knowledge and demonstrate your skills prowess through practical problem-solving challenges.
Learn how to become a critical thinker
You'll gain the ability to independently evaluate critical approaches and techniques relevant to business analytics. You'll learn how to relate existing knowledge structures and methodologies to analytical business challenges.
Learn how to manage analytics projects
You'll master the skill of running data analytics projects, from assessing and analyzing raw data to preparing visualizations and concluding by optimally communicating your results effectively to a select audience.
Professional Recognition
MSc - Association to Advance Collegiate Schools of Business (AACSB)
Accredited by the Association to Advance Collegiate Schools of Business (AACSB).
MSc - SAS
The courses Data Mining and Text Analytics module is the first and only academic module in the country endorsed by SAS for the SAS knowledge and skills attained by students successfully completed the module, and is widely recognised by employers.
MSc - International Institute of Business Analysis (IIBA)
This program is endorsed by IIBA (the International Institute of Business Analysis) and prequalifies for the professional development requirement of the IIBA Core Certifications: CCBA® and CBAP®.This program also contributes towards the preparation for the IIBA®-Certification in Business Data Analytics ( IIBA® CBDA)
Admissions
Curriculum
Academic Year Structure
Our course runs over three semesters. You'll take four modules in both Semester 1 (October to January) and Semester 2 (February to June). Semester 3 runs from June to September. You'll carry out your independent project (dissertation) during this time.
Modules
Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand, and/or class size caps.
The University operates a credit framework for all taught programs based on a 15-credit tariff. Modules can be either 15, 30, 45, 75, or 120 credits, and additionally for some masters dissertations, 90 credits.
The structure of our programs follows clear educational aims that are tailored to each program. These are all outlined in the program specifications which include further details such as the learning outcomes:
Year 1
Full-time
- Data Mining and Text Analytics
- Equity Investment Analysis
- Principles of Analytics
- Principles of Finance and Investment
- Statistics and Econometrics
- Supply Chain Design, Planning and Analysis
- Data and Business Process Management (with Sap)
- Financial Modelling
- Machine Learning/AI and Visualisations
- Marketing Analytics
- Operational Analytics
- Performance Analytics
- Project/Dissertation for Business Analytics
Year 1
Full-time with Study Aboard - 15 Months
- Data Mining and Text Analytics
- Equity Investment Analysis
- Principles of Analytics
- Principles of Finance and Investment
- Statistics and Econometrics
- Supply Chain Design, Planning and Analysis
- Data and Business Process Management (with Sap)
- Financial Modelling
- Machine Learning/AI and Visualisations
- Marketing Analytics
- Operational Analytics
- Performance Analytics
- Project/Dissertation for Business Analytics
Year 1
Part-time
- Data Mining and Text Analytics
- Principles of Analytics
- Statistics and Econometrics
- Data and Business Process Management (with Sap)
- Marketing Analytics
- Operational Analytics
Year 2
Part-time
- Equity Investment Analysis
- Principles of Finance and Investment
- Supply Chain Design, Planning and Analysis
- Financial Modelling
- Machine Learning/AI and Visualisations
- Performance Analytics
- Project/Dissertation for Business Analytics
Timetable
New students will receive their personalised timetable in Welcome Week, and in subsequent semesters, two weeks prior to the start of the semester. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week (Monday– Friday). Wednesday afternoons are normally reserved for sports and cultural activities. Part-time classes are normally scheduled on one or two days per week, details of which can be obtained from the Academic Hive. View our Code of practice for the scheduling of teaching and assessment (PDF).
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Career Opportunities
We offer career information, advice, and guidance to all students whilst studying with us, which is extended to our alumni for three years after leaving the University. Our graduates have lifetime access to Surrey Pathfinder, our online portal for appointment and events bookings, jobs, placements, and interactive development tools.
By studying this course you will gain unparalleled expertise that will make you an indispensable asset in any organisation.
94 percent of our Surrey Business School postgraduate students go on to employment or further study (Graduate Outcomes survey 2023, HESA).
Business analytics students often pursue careers as:
- Data scientists
- Data analysts
- Finance analysts
- Operations managers
- Consultants (Power BI/Tableau, Business Strategy, Analytics)
- Business analytics managers
- Business intelligence analysts.
Program Tuition Fee
English Language Requirements
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